Programming in Python Certification Course

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When do you want to start?
  • You'll learn the basics of programming in Python.
  • You'll learn how to write code, how to run your code, and how to debug your code.
  • You will also learn how to work with data structures, such as lists and dictionaries.
  • You'll require a personal computer (Windows, Mac, or Linux) equipped for running Anaconda 3 or more current. The course will walk you through introducing the essential free programming.
  • Some earlier coding or scripting experience is required.
  • At any rate secondary school level, numerical abilities will be required.

Python is a versatile language that you can use on the backend, frontend, or full stack of a web application. In this course, we'll explore the basics of programming in Python. You'll learn about the different data types, how to create and use variables, and the different control flow structures. By the end of this course, you'll have a better understanding of how to program in Python.

  • People with no prior programming experience.

Why Study Programming in Python?

Jobs on the Rise.

According to a recent survey, jobs for Backend Developers are rising.

Lucrative Career.

Programming in Python is a constantly growing and lucrative career.

High Paying Jobs.

This is a growing sector with many high-paying job profiles.

Fast Growing Field.

The field is growing quickly, making it an exciting and rewarding career path.

Programming in Python Course Syllabus

  • Install & Setup.
  • Our First Python Program.
  • Printing in Python.
  • Strings in Python.
  • Variables and Types.
  • Numeric Data Types in Python.
  • Expressions.
  • Introductions to Blocks and Statements.
  • if Statements.
  • More on if, elif and else.
  • Conditional Operators.
  • Using and, or, in Conditions.
  • Boolean Expression True and False.
  • For loops.
  • While loops.
  • Lists.
  • Immutable Objects.
  • Mutable Objects.
  • Binding Multiple Names to a List.
  • Sorting Lists.
  • Tuples are Immutable.
  • Constants in Python.
  • Defining a Function.
  • Program Flow When Calling a Function.
  • Parameters and Arguments.
  • Debugging with Parameters.
  • What is a Dictionary?
  • Iterating over a Dictionary.
  • Adding items to a Dictionary.
  • Changing values in a Dictionary.
  • Removing items from a Dictionary.
  • Using 'in' with a Dictionary.
  • Dictionary Menu Challenge Solution.
  • Introduction to Sets.
  • Python Sets.
  • Implications of Sets being Unordered.
  • Set Membership.
  • Testing Set Membership is Fast.
  • Adding items to a Set.
  • Using a Set to Remove Duplicate Values.
Looking for the complete module?
Download Full Syllabus

Certificates you will receive post completion of Programming in Python Course

  1. We acknowledge your hard work and dedication towards the program by bestowing a course completion certificate from YHills.
  2. We also provide internship certificates from YHills and top-hole universities after post successful completion of the internship.
  3. We purvey an Industry certificate from renowned and prestigious companies as an incentive.

Programming in Python Course Fee

Quality learning, simplified and budget-friendly – just for you!

“The YHills course is straightforward, featuring hands-on projects and a real-world approach, I recommend it!”

Priyanshu K

5-star rating

Mentor-Led Program
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We are ready to assist, advise, encourage and listen as you begin your professional courses at YHills.

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Full Stack Developer

Uttam Grade

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T. Raja Stephenson

Digital Marketing Expert

Hear what our students says

40,000+ Students have already learned with YHills!

The course was challenging and instructive, and it changed the way I see language learning. Highly Recommended for any one interested in python language.

Kaya Mallik Student

I was a little nervous about taking this course, but it turned out to be a lot easier than I thought it would be. It's been really fun learning the basics of Python, and I'm excited to start using it in my work!

Shantanu Dixit UI/UX Designer

I was able to learn Python in just 8 weeks, thanks to the clear instructions and real-world examples that were provided.

Himanshu Shah Student

This course taught me all the basics of programming in Python, plus some advanced concepts like list comprehension.

Jyoti Priya Student

10 Strategies for Successfully Mastering Python Programming as a Beginner

Python programming is a popular language for both hobbyists and professional developers alike. However, it can be difficult to master because it is so versatile. Beginners may find themselves overwhelmed by the sheer number of resources available and not know where to start, especially if they are beginners with little or no programming experience.

In this article, we will share with you ten simple strategies that will help you master Python programming and become a confident and competent Python programmer. The strategies are not specific to learning Python, but rather are useful in any situation where you want to learn a new skill. Read More Here

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At YHills Edutech, we believe in providing excellent customer service, ensuring that all your queries are answered promptly and efficiently.

Python is a high-level general-purpose programming language. It was created by Guido van Rossum in 1991. Python has been used by Google, Facebook, Dropbox, Netflix, and Instagram to build large-scale web applications.

Python is a great language for beginners, but it also has many advanced features that make it great for experienced developers too. This course will help you learn both the basics of programming and advanced concepts like object-oriented programming (OOP) and functional programming (FP). You'll also learn how to use Python's built-in data structures and work with text files. Finally, you'll learn how to build your own programs with Python's high level of abstraction and expressiveness.

By the end of this course, you'll have learned all the fundamentals necessary for writing real-world programs in Python. You'll be able to write scripts that automate tasks on your computer or even communicate with external devices like sensors and cameras!

You can use Python to create websites, games, apps, and more—it's a general-purpose language that can be applied to almost any task. You can also use it in data analytics and machine learning because it has libraries for those tasks built right in!

Python is used for a lot of different kinds of jobs. Web developers use it to build websites, data scientists use it to analyze large data sets and figure out how to make them useful, and even marketers sometimes use Python to help them understand their customers better.

In general, when looking for work with Python skills, you'll want to look for companies that need people who can program or develop something—like a website or an app—and have a background in Python specifically.

Learn Python in Weeks and Build Your First Backend Project.

Are you prepared for getting started on your journey in Backend Web Development?